Adín Ramírez Rivera

According to our database, Adín Ramírez Rivera authored at least 44 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Representation Learning via Consistent Assignment of Views over Random Partitions.

Thalles Silva, Adín Ramírez Rivera

CoRR, 2023

Self-supervised Learning of Contextualized Local Visual Embeddings.

Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera

CoRR, 2023

Representation Learning via Consistent Assignment of Views over Random Partitions.

Thalles Santos Silva, Adín Ramírez Rivera

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation.

Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping.

Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering.

Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-supervised Learning of Contextualized Local Visual Embeddings.

Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation.

Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh

IEEE Trans. Neural Networks Learn. Syst., 2022

Video Reenactment as Inductive Bias for Content-Motion Disentanglement.

Juan Felipe Hernández Albarracín, Adín Ramírez Rivera

IEEE Trans. Image Process., 2022

Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations.

Md. Tauhid Bin Iqbal, Byungyong Ryu, Adín Ramírez Rivera, Farkhod Makhmudkhujaev, Oksam Chae, Sung-Ho Bae

IEEE Trans. Affect. Comput., 2022

A deep learning approach to halo merger tree construction.

Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Nelson D. Padilla, Diego Dujovne

CoRR, 2022

Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation.

Darwin Saire, Adín Ramírez Rivera

IEEE Access, 2022

Representation learning via consistent assignment of views to clusters.

Thalles Silva, Adín Ramírez Rivera

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021

On the pitfalls of learning with limited data: A facial expression recognition case study.

Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera

Expert Syst. Appl., 2021

Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task.

Darwin Saire, Adín Ramírez Rivera

IEEE Access, 2021

Hierarchical Transformer for Multilingual Machine Translation.

Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov

Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, 2021

2020

Multi-Stream Networks and Ground-Truth Generation for Crowd Counting.

Rodolfo Quispe, Darwin Ttito Concha, Adín Ramírez Rivera, Hélio Pedrini

CoRR, 2020

Image Classification Using Graph-Based Representations and Graph Neural Networks.

Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis

Proceedings of the Complex Networks & Their Applications IX, 2020

2019

A Halo Merger Tree Generation and Evaluation Framework.

Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Jenny A. González, Nelson D. Padilla, Diego Dujovne

CoRR, 2019

Graph Learning Network: A Structure Learning Algorithm.

Darwin Saire Pilco, Adín Ramírez Rivera

CoRR, 2019

Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images.

Darwin Ttito Concha, Rodolfo Quispe, Adín Ramírez Rivera, Hélio Pedrini

Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

Background Modeling Through Spatiotemporal Edge Feature and Color.

Byeongwoo Kim, Adín Ramírez Rivera, Oksam Chae, Jaemyun Kim

Proceedings of the Advances in Visual Computing, 2019

SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation.

Albina Khusainova, Adil Khan, Adín Ramírez Rivera

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018

Improving Human Action Recognition through Hierarchical Neural Network Classifiers.

Pavel Zhdanov, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Local Directional Ternary Pattern for Facial Expression Recognition.

Byungyong Ryu, Adín Ramírez Rivera, Jaemyun Kim, Oksam Chae

IEEE Trans. Image Process., 2017

Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach.

Jhosimar Arias Figueroa, Adín Ramírez Rivera

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Deep learning models for bone suppression in chest radiographs.

Maxim Gusarev, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection.

Anton Dobrenkii, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Background modeling using adaptive properties of hybrid features.

Jaemyun Kim, Adín Ramírez Rivera, Byeongwoo Kim, Kaushik Roy, Oksam Chae

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Edge shape pattern for background modeling based on hybrid local codes.

Seokjin Hong, Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Oksam Chae

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015

Local Directional Texture Pattern image descriptor.

Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae

Pattern Recognit. Lett., 2015

Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition.

Adín Ramírez Rivera, Oksam Chae

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Simultaneous Foreground Detection and Classification with Hybrid Features.

Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Unattended object detection based on edge-segment distributions.

Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Kiok Ahn, Oksam Chae

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013

Local Directional Number Pattern for Face Analysis: Face and Expression Recognition.

Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae

IEEE Trans. Image Process., 2013

Background Modeling Through Statistical Edge-Segment Distributions.

Adín Ramírez Rivera, Mahbub Murshed, Jaemyun Kim, Oksam Chae

IEEE Trans. Circuits Syst. Video Technol., 2013

Edge-segment-based Background Modeling: Non-parametric online background update.

Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Byungyong Ryu, Oksam Chae

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Content-Aware Dark Image Enhancement Through Channel Division.

Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae

IEEE Trans. Image Process., 2012

Local Gaussian Directional Pattern for face recognition.

Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Recognition of face expressions using Local Principal Texture Pattern.

Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Facial expression recognition based on Local Sign Directional Pattern.

Jorge A. Rojas Castillo, Adín Ramírez Rivera, Oksam Chae

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Moving Edge Segment Matching for the Detection of Moving Object.

Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae

Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

Object detection through edge behavior modeling.

Adín Ramírez Rivera, Mahbub Murshed, Oksam Chae

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach.

Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae

Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010